Prompt engineering is the practice of writing clear instructions for AI tools so their outputs match what you actually need.

A good prompt usually includes a role, a task, context, constraints, and a desired format, rather than a single vague question.

Examples improve results dramatically, because showing the AI a desired style or structure is clearer than describing it abstractly.

Iteration is the core skill: test a prompt, review the output, adjust one element at a time, and keep the version that works best.

Prompt engineering does not replace expertise, since you still need to judge accuracy, originality, and suitability of every output.